MICROSOFT DATA PLATFORM:
REDUCE TIME TO BUSINESS IMPACT
2
The World of Data
is Changing
4
Big Data
represents the
trends,
technologies,
and potential
for businesses
to obtain
valuable insight
from large
(petabytes, or
even zetabytes),
of structured,
unstructured,
and fast-
moving data.
5
“[T]here are there are things
we know we know.
We also know there are ;
that is to say we know there are some things
we do not know.
But there are also
–
there are things we do
not know we don't know.”
known knowns
known unknowns
unknown unknowns
6
known knowns
known unknowns
unknown unknowns
| Dashboards
| Data Exploration
| Predictive Analytics
“Let the your dataset change your mindset”
7
Trends
To gain competitive advantage and innovate, enterprises
must become more and more data-driven
Yet large bodies of structured and unstructured data
make it difficult to quickly generate insights
More businesses start realizing significant opportunities
to use advanced analytics to create predictive and
prescriptive models
How do I optimize my
fleet based on weather
and traffic patterns?
What’s the social
sentiment for my
brand or products
How do I better
predict future
outcomes?
Increases ad revenue by processing 3.5
billion events per day
Massive Volumes
Processes 464 billion rows per quarter, with
average query time under 10 secs.
Measures and ranks online user influence
by processing 3 billion signals per day
Cloud Connectivity
Connects across 15 social networks via the
cloud for data and API access
Uses sentiment analysis and web analytics
for its internal cloud
Real-Time Insight
Improves operational decision making for
IT managers and users
10
GAIN COMPETITIVE ADVANTAGE BY MOVING FIRST AND FAST IN YOUR INDUSTRY
Web app
optimization
Smart meter
monitoring
Equipment
monitoring
Advertising
analysis
Life sciences
research
Fraud
detection
Healthcare
outcomes
Weather
forecasting
Natural resource
exploration
Social network
analysis
Churn
analysis
Traffic flow
optimization
IT infrastructure
optimization
Legal
discovery
accelerating insights on any data
in-memory
accelerating business
process & insight
modern & optimized
built into data platform
complete
PowerPivot
xVelocity Analytics Engine
xVelocity Columnstore
StreamInsight
Windows Azure Cache
Project code name “Hekaton”
manage any data,
any size, anywhere
MANAGE ANY DATA, ANY SIZE, ANYWHERE
010101010101010101
1010101010101010
01010101010101
101010101010
Extremely large volume of unstructured web logs
Ad hoc analysis of logs to prototype patterns
Hadoop data cluster feeds large 24TB cube
Business users analyze cube data
E.g. STRUCTURED & UNSTRUCTURED DATA
POLYBASE: COMBINING RELATIONAL AND NON-RELATIONAL DATA
The future of query processing




ENRICH BY CONNECTING TO THE WORLDS DATA
Discover
Combine
Refine
DISCOVER DATA
FROM
TO
IDENTITY
DOC CONTEXT
SOCIAL GRAPHS
DATA EXPLORER
DATA HUB
POWER OF COMBINING THE WORLDS DATA
Value
REFINE DATA
Enterprise Information Management & Full Analytic Spectrum
E.g. VALUE OF EXTERNAL DATA
INSIGHTS ON ANY DATA, ALL USERS, WHEREVER THEY ARE
010101010101010101
1010101010101010
01010101010101
101010101010
INSIGHTS FOR ALL USERS THROUGH FAMILIAR TOOLS
PB TB GB
BIG DATA REQUIRES AN END-TO-END APPROACH
Discover Combine Refine
Relational Non-relational Streaming
INSIGHT
DATA
ENRICHMENT
DATA
MANAGEMENT
Self-Service Collaboration Corporate Apps Devices
Analytical
Parallel Data Warehouse
PowerPivot
Power View
Microsoft HDInsight Server
HDInsight Service
31
ADDITIONAL RESOURCES
LEARNMORE
1. Microsoft Big Data Solution: www.microsoft.com/bigdata
2. Windows Azure: www.windowsazure.com/en-us/home/scenarios/big-data
3. Microsoft BI blog:
http://blogs.msdn.com/b/microsoft_business_intelligence1/
TRY NOW
1. Preview of the Windows Azure HDInsight Service:
https://www.hadooponazure.com
2. Developer CTP of Microsoft HDInsight Server for Windows Server:
http://www.microsoft.com/bigdata
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and
Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Microsoft Data Platform and a new world of data

  • 1.
    MICROSOFT DATA PLATFORM: REDUCETIME TO BUSINESS IMPACT
  • 2.
    2 The World ofData is Changing
  • 4.
    4 Big Data represents the trends, technologies, andpotential for businesses to obtain valuable insight from large (petabytes, or even zetabytes), of structured, unstructured, and fast- moving data.
  • 5.
    5 “[T]here are thereare things we know we know. We also know there are ; that is to say we know there are some things we do not know. But there are also – there are things we do not know we don't know.” known knowns known unknowns unknown unknowns
  • 6.
    6 known knowns known unknowns unknownunknowns | Dashboards | Data Exploration | Predictive Analytics “Let the your dataset change your mindset”
  • 7.
    7 Trends To gain competitiveadvantage and innovate, enterprises must become more and more data-driven Yet large bodies of structured and unstructured data make it difficult to quickly generate insights More businesses start realizing significant opportunities to use advanced analytics to create predictive and prescriptive models
  • 8.
    How do Ioptimize my fleet based on weather and traffic patterns? What’s the social sentiment for my brand or products How do I better predict future outcomes?
  • 9.
    Increases ad revenueby processing 3.5 billion events per day Massive Volumes Processes 464 billion rows per quarter, with average query time under 10 secs. Measures and ranks online user influence by processing 3 billion signals per day Cloud Connectivity Connects across 15 social networks via the cloud for data and API access Uses sentiment analysis and web analytics for its internal cloud Real-Time Insight Improves operational decision making for IT managers and users
  • 10.
  • 11.
    GAIN COMPETITIVE ADVANTAGEBY MOVING FIRST AND FAST IN YOUR INDUSTRY Web app optimization Smart meter monitoring Equipment monitoring Advertising analysis Life sciences research Fraud detection Healthcare outcomes Weather forecasting Natural resource exploration Social network analysis Churn analysis Traffic flow optimization IT infrastructure optimization Legal discovery
  • 12.
  • 13.
    in-memory accelerating business process &insight modern & optimized built into data platform complete
  • 14.
    PowerPivot xVelocity Analytics Engine xVelocityColumnstore StreamInsight Windows Azure Cache Project code name “Hekaton”
  • 15.
    manage any data, anysize, anywhere
  • 16.
    MANAGE ANY DATA,ANY SIZE, ANYWHERE 010101010101010101 1010101010101010 01010101010101 101010101010
  • 17.
    Extremely large volumeof unstructured web logs Ad hoc analysis of logs to prototype patterns Hadoop data cluster feeds large 24TB cube Business users analyze cube data E.g. STRUCTURED & UNSTRUCTURED DATA
  • 19.
    POLYBASE: COMBINING RELATIONALAND NON-RELATIONAL DATA The future of query processing    
  • 21.
    ENRICH BY CONNECTINGTO THE WORLDS DATA Discover Combine Refine
  • 22.
  • 23.
    POWER OF COMBININGTHE WORLDS DATA Value
  • 24.
    REFINE DATA Enterprise InformationManagement & Full Analytic Spectrum
  • 25.
    E.g. VALUE OFEXTERNAL DATA
  • 27.
    INSIGHTS ON ANYDATA, ALL USERS, WHEREVER THEY ARE 010101010101010101 1010101010101010 01010101010101 101010101010
  • 28.
    INSIGHTS FOR ALLUSERS THROUGH FAMILIAR TOOLS PB TB GB
  • 29.
    BIG DATA REQUIRESAN END-TO-END APPROACH Discover Combine Refine Relational Non-relational Streaming INSIGHT DATA ENRICHMENT DATA MANAGEMENT Self-Service Collaboration Corporate Apps Devices Analytical
  • 30.
    Parallel Data Warehouse PowerPivot PowerView Microsoft HDInsight Server HDInsight Service
  • 31.
  • 32.
    ADDITIONAL RESOURCES LEARNMORE 1. MicrosoftBig Data Solution: www.microsoft.com/bigdata 2. Windows Azure: www.windowsazure.com/en-us/home/scenarios/big-data 3. Microsoft BI blog: http://blogs.msdn.com/b/microsoft_business_intelligence1/ TRY NOW 1. Preview of the Windows Azure HDInsight Service: https://www.hadooponazure.com 2. Developer CTP of Microsoft HDInsight Server for Windows Server: http://www.microsoft.com/bigdata
  • 33.
    © 2012 MicrosoftCorporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.